Triple

T9917655
Position Surface form Disambiguated ID Type / Status
Subject Laguna Miñiques E185910 entity
Predicate near P350 FINISHED
Object Socaire E469003 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Socaire | Statement: [Laguna Miñiques, near, Socaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Socaire
Context triple: [Laguna Miñiques, near, Socaire]
  • A. Socaire chosen
    Socaire is a traditional Atacameño village in northern Chile, known for its terraced agriculture, adobe architecture, and proximity to the Atacama Desert’s high Andean landscapes.
  • B. Sousel
    Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • C. Socor
    Socor is a component or segment of the larger work or entity known as "No Long Thing."
  • D. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • E. Girard
    Girard is a masculine given name and surname of Germanic origin, historically associated with forms like Gerard or Gerhard and borne by various notable figures in European and North American history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5673f108190914e0c172dddc65f completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dec42848190ab9f8663155df83f completed April 5, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:42 p.m.